FedQUIT performs on-device unlearning in federated learning by distilling from a virtual teacher that penalizes true-class confidence on forget data while preserving other output relationships, matching or exceeding prior methods with lower overhead than retraining.
Machine unlearning: A survey.ACM Computing Surveys, 56(1):1–36, 2023
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FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
FedQUIT performs on-device unlearning in federated learning by distilling from a virtual teacher that penalizes true-class confidence on forget data while preserving other output relationships, matching or exceeding prior methods with lower overhead than retraining.